import pandas as pd
import catboost as cb

# 读取数据
data = pd.read_csv('data1.csv')
X_test = data.drop(columns=['IC_DCS_CHIMNEY_NOX', 'time'])

# 从文件加载模型
loaded_model = cb.CatBoostRegressor()
loaded_model.load_model("catboost_model.cbm")

# 使用加载的模型进行预测
loaded_predictions = loaded_model.predict(X_test)

print(f'predictions: {loaded_predictions}')